$$ A Quick Introduction to Pandas Dataframes

Pandas is the main data structure and manipulation library of python. We will make extensive use of pandas during the course. You can think of a pandas dataframe as an excel spreadsheet, in which each row is associated to an observation and each column is representing a different variable $($characteristic$).$ For example, assume we want to store information about the students of this classroom. We might want to record the name, age, and gpa of each student. Let us create a dataframe, and store the data of a few students. Note: Do not forget to import the library before using it$!$

Step $1$: Create a dataframe with $8$ students, with the following:

names : A$,$ B$,$ C$,$ D$,$ E$,$ F$,$ G$,$ H

ages: $21,22,23,24,25,26,27,28$

g$$: $4\mathrm{.}0,4\mathrm{.}5,5\mathrm{.}0,5\mathrm{.}5,6\mathrm{.}0,6\mathrm{.}5,7\mathrm{.}0,7\mathrm{.}5$

Step $2$: Get a description of the dataframe using describe$().$

Step $3$: Create a scatter plot to describe the relation between age and gpa of students. Use plot. and press 'TAB' to get a list of plots.